Senior Engineer - Site Reliability

Core42 is a leader in AI-powered cloud and digital infrastructure, driving transformative technology solutions globally. As a Senior Site Reliability Engineer, you will be responsible for designing and implementing scalable infrastructure to support large-scale AI workloads while collaborating with various teams to enhance system reliability and performance.

Responsibilities:

• CI/CD & Automation: Design, build, and maintain robust CI/CD pipelines using tools such as GitLab CI, Azure DevOps, and/or Jenkins to enable rapid and secure software delivery
• Kubernetes Operations: Operate, manage, and optimize Kubernetes clusters, ensuring scalability, performance, and resilience
• Infrastructure as Code: Develop and maintain infrastructure using Terraform, Helm, Ansible, or similar tools to automate provisioning and configuration
• Observability & Monitoring: Implement and manage monitoring solutions using Prometheus, VictoriaMetrics, Grafana, and ELK/EFK to ensure system health and performance
• Incident Management: Lead root cause analysis (RCA), post-mortems, and continuous improvement initiatives to enhance system reliability
• Reliability Engineering: Define and implement SRE best practices, including SLAs, SLOs, and error budgets
• Logging & Alerting: Build and maintain logging, alerting, and tracing systems for proactive issue detection and rapid troubleshooting
• Security & Compliance: Enforce security best practices and compliance standards across CI/CD pipelines and runtime environments; support audit readiness
• Collaboration: Work cross-functionally with engineering, product, and infrastructure teams to align platform capabilities with business needs
• Mentorship: Provide guidance and mentorship to junior engineers and contribute to knowledge sharing across teams
• On-call Support: Participate in on-call rotations to support critical platform services

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience in DevOps, Site Reliability Engineering, or platform engineering roles in production environments
• Proven experience managing Kubernetes clusters (e.g., GKE, EKS, AKS, or self-managed)
• Hands-on experience with CI/CD tools and automation frameworks
• Strong experience with infrastructure-as-code tools such as Terraform, Helm, or Ansible
• Proficiency in container technologies (Docker, containerd) and orchestration with Kubernetes
• Strong scripting/programming skills (e.g., Python, Bash, Go)
• Experience with observability and monitoring stacks (Prometheus, Grafana, ELK/EFK)
• Solid understanding of Linux systems, networking concepts, and cloud-native security best practices
• Experience supporting AI/ML or HPC workloads in production environments
• Knowledge of GPU resource management, workload schedulers, and performance tuning
• Familiarity with distributed systems and large-scale infrastructure environments
• Experience with incident management frameworks and reliability engineering practices
• Strong collaboration and communication skills across cross-functional teams